Feedzai, a data science company that uses real-time, machine-based learning to analyze big data to make commerce safe, and DataStax, the company that delivers Apache Cassandra to the enterprise, today announced a commercial partnership under which Feedzai is now part of the DataStax Partner Network.
This article is the fifth and last in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.
A new survey from SAS, “Finding the Right Balance Between Personalization and Privacy,” finds a strong correlation between trust and willingness to share information on the part of the consumer. Trust in data security is by far the biggest factor when customers decide to provide information.
I’ve been monitoring an interesting discussion on the Big Data and Analytics group over on LinkedIn – “Is there a difference between big data and small data?” It is an interesting question, one that I’ve heard before during my travels down in the trenches as I explore our industry. [Read More...]
I’ve been finding it fascinating to watch on as data scientists discuss the death of data science. It all started with a rather sensationalized post over at Slashdot: “Data Science is Dead” by Miko Matsumura, Vice President at Hazelcast. [Read More...]
All Recent News
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- Waterline Data Science Announces Product to Make Hadoop Consumable by Business Analysts and Data Scientists
- Feedzai Partners with Datastax for Real-Time Fraud Analysis
- Sumo Logic Launches Transaction Analytics to Transform How Companies Learn from Business Events
- GridGain In-Memory Data Fabric
- SAS Survey: Finding the Right Balance Between Personalization and Privacy
- Data Science 101: Data Agnosticism – Feature Engineering Without Domain Expertise